CN108388967A - A kind of distributed energy load design system and design method - Google Patents

A kind of distributed energy load design system and design method Download PDF

Info

Publication number
CN108388967A
CN108388967A CN201810211274.3A CN201810211274A CN108388967A CN 108388967 A CN108388967 A CN 108388967A CN 201810211274 A CN201810211274 A CN 201810211274A CN 108388967 A CN108388967 A CN 108388967A
Authority
CN
China
Prior art keywords
enterprise
load
module
coefficient
region
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810211274.3A
Other languages
Chinese (zh)
Inventor
张海珍
周宇昊
郑文广
阮炯明
朱良松
宋胜男
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huadian Electric Power Research Institute Co Ltd
Original Assignee
Huadian Electric Power Research Institute Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huadian Electric Power Research Institute Co Ltd filed Critical Huadian Electric Power Research Institute Co Ltd
Priority to CN201810211274.3A priority Critical patent/CN108388967A/en
Publication of CN108388967A publication Critical patent/CN108388967A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Development Economics (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The present invention relates to a kind of distributed energy load design system and design methods.Currently, the prediction of distributed cooling and heating load is the design average load simple superposition according to each enterprise customer, cannot reflecting regional well load condition.The present invention includes A class enterprise diagnosis module, B class enterprise diagnosis module, C class enterprise diagnosis module, coefficient of colligation determination module, region load prediction module, correction factor determination module, region load design module and energy resource supply side;A class enterprise diagnosis module, B class enterprise diagnosis modules and C class enterprise diagnosis modules are connect with coefficient of colligation determination module, coefficient of colligation determination module is connect with region load prediction module, load prediction module in region is connect with correction factor determination module, correction factor determination module is connect with region load design module, and region load design module is connect with energy resource supply side.The present invention considers the category of employment difference in region, region load reasonable design.

Description

A kind of distributed energy load design system and design method
Technical field
The invention belongs to distributed energy fields, and in particular to a kind of distributed energy load design system and design side Method.
Background technology
Distributed energy resource system is that user's cooling and heating load is relied on to establish, and such as application No. is 201710389292.6 China The precision of patent, cooling and heating load prediction has significant impact to distributed construction scale and the level of profitability.It is distributed cold at present Heat load prediction is the design average load simple superposition according to each enterprise customer, obtains region average load, later according to flat Equal load design system is installed scale, but this carry calculation pattern warp practice have shown that, cannot reflecting regional well it is negative On the one hand lotus situation is because including multi industries in region, the load season of Different Industries and diurnal fluctuation differ greatly, separately The development prospect of one side Different Industries is variant, does not consider influence of the development to load of enterprise at present.
Invention content
It is an object of the invention to overcome above-mentioned deficiency existing in the prior art, and provide a kind of reasonable in design Distributed energy load design system and design method.
Technical solution is used by the present invention solves the above problems:A kind of distributed energy load design system, it is special Sign is, including A class enterprise diagnosis module, B class enterprise diagnosis module, C class enterprise diagnosis module, coefficient of colligation determination module, Region load prediction module, correction factor determination module, region load design module and energy resource supply side;A classes enterprise point Analysis module, B class enterprise diagnosis modules and C class enterprise diagnosis modules are connect with coefficient of colligation determination module, the coefficient of colligation Determination module is connect with region load prediction module, and the region load prediction module is connect with correction factor determination module, institute It states correction factor determination module to connect with region load design module, the region load design module connects with energy resource supply side It connects.It is reasonable in design, it can be integrated and be analyzed according to different industries, provide more rational distributed energy load design As a result.
Furthermore, the A classes enterprise diagnosis module, B class enterprise diagnosis modules and C class enterprise diagnosis wired in parallel cloth It sets.A class enterprise diagnosis module, B class enterprise diagnosis modules and C class enterprise diagnosis modules collect the feature of three kinds of different industries respectively Coefficient, coefficient of variation and development coefficient etc.;In addition, it can include the enterprise diagnosis module of larger class.
A kind of design method of distributed energy load design system as described above, which is characterized in that the design side Method is as follows:
(1)A classes enterprise, B are collected respectively by A class enterprise diagnosis module, B class enterprise diagnosis modules and C class enterprise diagnosis modules Characteristic coefficient, coefficient of variation and the development coefficient of class enterprise and C classes enterprise;
(2)Analytical procedure(1)The A classes enterprise of middle collection, the characteristic coefficient of B classes enterprise and C classes enterprise, coefficient of variation and development system Number, coefficient of colligation is provided in coefficient of colligation determination module;
(3)According to the load and step of A classes enterprise, B classes enterprise and C classes enterprise(2)In coefficient of colligation, in region load Region predicted load is calculated in prediction module;
(4)According to step(3)In region predicted load, provide correction factor in correction factor determination module;According to repairing Positive coefficient and region predicted load calculate region load design value in region load designs module;
(5)According to step(4)In region load design value matching is designed to the parameter of each equipment in energy resource supply side.
In above-mentioned design method, the characteristics of having considered different industries and every profession and trade, the region load design obtained Value is more rationally, reliably.
Furthermore, in step(1)In, A classes enterprise, B classes enterprise and C classes enterprise include multiple enterprises;Feature system Number, coefficient of variation and development coefficient are collected according to the mode of investigation or test.The data of collection have more generality.
Furthermore, in step(2)In, coefficient of colligation is provided according to industry development and stability of requirement factor.
Furthermore, in step(3)In, the calculation formula of region predicted load is:L0=LAθA+ LBθB + LCθC +…;Wherein:L0For region predicted load;LA、LB、LC... it is respectively the load of A, B, C... different industries;θA、θA、 θA.... it is respectively the coefficient of colligation of different industries;θAAβAγA, θBBβBγB, θCCβCγC, wherein:αA、αB、αCRespectively For the characteristic coefficient of A classes enterprise, B classes enterprise, C classes enterprise, value range 0-1;βA、βB、βCRespectively A classes enterprise, B classes enterprise Industry, C classes enterprise coefficient of variation, value range 0-1;γA、γB、γCRespectively A classes enterprise, B classes enterprise, C classes enterprises Development coefficient, value range 0-1.
Furthermore, in step(4)In, the calculation formula of region load design value is:L=ξ×L0;Wherein:L is area Domain load design value;ξ is correction factor, and characterization designs considered factor;L0For region predicted load.
Region load design value can be obtained according to above-mentioned calculation formula, accounted for according to synthesis the characteristics of every profession and trade, area Needed for domain load design value is more in line with.
Compared with prior art, the present invention haing the following advantages and effect:
1, the category of employment difference for considering region, objectively responds the load characteristic of different industries.
2, for the load of certain industry, consider industrial characteristic coefficient, load fluctuation coefficient and development coefficient.
Description of the drawings
Fig. 1 is the structural schematic diagram of distributed energy load design system in the embodiment of the present invention.
Fig. 2 is the flow diagram of distributed energy load design method in the embodiment of the present invention.
In figure:A class enterprise diagnosis module 1, B class enterprise diagnosis module 2, C class enterprise diagnosis module 3, coefficient of colligation judgement Module 4, region load prediction module 5, correction factor determination module 6, region load design module 7, energy resource supply side 8.
Specific implementation mode
The present invention is described in further detail below in conjunction with the accompanying drawings and by embodiment, and following embodiment is to this hair Bright explanation and the invention is not limited in following embodiments.
Embodiment.
Referring to Fig. 1 to Fig. 2, a kind of distributed energy load design system, including A class enterprise diagnosis module 1, B classes enterprise Analysis module 2, C class enterprise diagnosis module 3, coefficient of colligation determination module 4, region load prediction module 5, correction factor judge mould Block 6, region load design module 7 and energy resource supply side 8.
A class enterprise diagnosis module 1, B class enterprise diagnosis module 2 and C class enterprise diagnosis module 3 judge mould with coefficient of colligation Block 4 connects, and A class enterprise diagnosis module 1, B class enterprise diagnosis module 2 and C class enterprise diagnosis module 3 are arranged in parallel;Coefficient of colligation Determination module 4 is connect with region load prediction module 5, and region load prediction module 5 is connect with correction factor determination module 6, is repaiied Positive coefficient determination module 6 is connect with region load design module 7, and region load design module 7 is connect with energy resource supply side 8.
A kind of design method of distributed energy load design system as described above, design method are as follows:
(1)Collect A classes enterprise respectively by A class enterprise diagnosis module 1, B class enterprise diagnosis module 2 and C class enterprise diagnosis module 3 Industry, B classes enterprise and C classes enterprise characteristic coefficient, coefficient of variation and development coefficient;
(2)Analytical procedure(1)The A classes enterprise of middle collection, the characteristic coefficient of B classes enterprise and C classes enterprise, coefficient of variation and development system Number, coefficient of colligation is provided in coefficient of colligation determination module 4;
(3)According to the load and step of A classes enterprise, B classes enterprise and C classes enterprise(2)In coefficient of colligation, in region load Region predicted load is calculated in prediction module 5;
(4)According to step(3)In region predicted load, provide correction factor in correction factor determination module 6;According to repairing Positive coefficient and region predicted load calculate region load design value in region load designs module 7;
(5)According to step(4)In region load design value matching is designed to the parameter of each equipment in energy resource supply side 8.
In step(1)In, A classes enterprise, B classes enterprise and C classes enterprise include multiple enterprises;Characteristic coefficient, coefficient of variation Mode with development coefficient according to investigation or test is collected.
In step(2)In, coefficient of colligation is provided according to industry development and stability of requirement factor.
In step(3)In, the calculation formula of region predicted load is:L0=LAθA+ LBθB + LCθC+…;Wherein:L0For Region predicted load;LA、LB、LC... it is respectively the load of A, B, C... different industries;θA、θA、θA.... it is respectively difference The coefficient of colligation of industry;θAAβAγA, θBBβBγB, θCCβCγC, wherein:αA、αB、αCRespectively A classes enterprise, B classes enterprise Industry, C classes enterprise characteristic coefficient, value range 0-1;βA、βB、βCThe respectively fluctuation of A classes enterprise, B classes enterprise, C classes enterprise Coefficient, value range 0-1;γA、γB、γCThe respectively development coefficient of A classes enterprise, B classes enterprise, C classes enterprise, value range For 0-1.
In step(4)In, the calculation formula of region load design value is:L=ξ×L0;Wherein:L designs for region load Value;ξ is correction factor, and characterization designs considered factor;L0For region predicted load.
Although the present invention is disclosed as above with embodiment, it is not limited to protection scope of the present invention, any to be familiar with The technical staff of this technology changes and retouches made by without departing from the spirit and scope of the invention, should all belong to this hair Bright protection domain.

Claims (7)

1. a kind of distributed energy load design system, which is characterized in that including A class enterprise diagnosis module, B class enterprise diagnosis moulds Block, C class enterprise diagnosis module, coefficient of colligation determination module, region load prediction module, correction factor determination module, region are negative Lotus designs module and energy resource supply side;The A classes enterprise diagnosis module, B class enterprise diagnosis modules and C class enterprise diagnosis modules are equal It is connect with coefficient of colligation determination module, the coefficient of colligation determination module is connect with region load prediction module, and the region is negative Lotus prediction module is connect with correction factor determination module, and the correction factor determination module is connect with region load design module, The region load design module is connect with energy resource supply side.
2. distributed energy load design system according to claim 1, which is characterized in that the A classes enterprise diagnosis mould Block, B class enterprise diagnosis modules and C class enterprise diagnosis wired in parallel arrangement.
3. a kind of design side of distributed energy load design system as described in any one of claim 1-2 claims Method, which is characterized in that the design method is as follows:
A classes enterprise, B classes enterprise are collected respectively by A class enterprise diagnosis module, B class enterprise diagnosis modules and C class enterprise diagnosis modules Characteristic coefficient, coefficient of variation and the development coefficient of industry and C classes enterprise;
Analytical procedure(1)The A classes enterprise of middle collection, characteristic coefficient, coefficient of variation and the development coefficient of B classes enterprise and C classes enterprise, Coefficient of colligation is provided in coefficient of colligation determination module;
According to the load and step of A classes enterprise, B classes enterprise and C classes enterprise(2)In coefficient of colligation, in region, load is pre- It surveys in module and calculates region predicted load;
According to step(3)In region predicted load, provide correction factor in correction factor determination module;It is according to correcting Number and region predicted load calculate region load design value in region load designs module;
According to step(4)In region load design value matching is designed to the parameter of each equipment in energy resource supply side.
4. distributed energy load design method according to claim 3, which is characterized in that in step(1)In, A classes enterprise Industry, B classes enterprise and C classes enterprise include multiple enterprises;What characteristic coefficient, coefficient of variation and development coefficient foundation were investigated or were tested Mode is collected.
5. distributed energy load design method according to claim 3, which is characterized in that in step(2)In, comprehensive system It is several to be provided according to industry development and stability of requirement factor.
6. distributed energy load design method according to claim 3, which is characterized in that in step(3)In, region is negative The calculation formula of lotus predicted value is:L0=LAθA+ LBθB + LCθC+…;Wherein:L0For region predicted load;LA、LB、LC... point Not Wei A, B, C... different industries load;θA、θA、θA.... it is respectively the coefficient of colligation of different industries;θAAβAγA, θBBβBγB, θCCβCγC, wherein:αA、αB、αCThe respectively characteristic coefficient of A classes enterprise, B classes enterprise, C classes enterprise, value model It encloses for 0-1;βA、βB、βCThe respectively coefficient of variation of A classes enterprise, B classes enterprise, C classes enterprise, value range 0-1;γA、γB、 γCThe respectively development coefficient of A classes enterprise, B classes enterprise, C classes enterprise, value range 0-1.
7. distributed energy load design method according to claim 3, which is characterized in that in step(4)In, region is negative The calculation formula of lotus design value is:L=ξ×L0;Wherein:L is region load design value;ξ is correction factor, and characterization design is examined The factor of worry;L0For region predicted load.
CN201810211274.3A 2018-03-14 2018-03-14 A kind of distributed energy load design system and design method Pending CN108388967A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810211274.3A CN108388967A (en) 2018-03-14 2018-03-14 A kind of distributed energy load design system and design method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810211274.3A CN108388967A (en) 2018-03-14 2018-03-14 A kind of distributed energy load design system and design method

Publications (1)

Publication Number Publication Date
CN108388967A true CN108388967A (en) 2018-08-10

Family

ID=63067417

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810211274.3A Pending CN108388967A (en) 2018-03-14 2018-03-14 A kind of distributed energy load design system and design method

Country Status (1)

Country Link
CN (1) CN108388967A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112529272A (en) * 2020-12-01 2021-03-19 山东理工大学 Power load prediction method considering policy influence factors

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102402726A (en) * 2011-11-04 2012-04-04 中国电力科学研究院 Method for predicting electric quantity of large-scale distribution network based on regional load analysis
CN103606018A (en) * 2013-12-04 2014-02-26 冶金自动化研究设计院 System for dynamically predicating power load of iron and steel enterprise in short period
CN104166799A (en) * 2014-08-13 2014-11-26 华电电力科学研究院 Calculating method for design load of a natural gas distributed energy resource
CN104392281A (en) * 2014-11-21 2015-03-04 上海卓源节能科技有限公司 Control method of maximum demand of electricity for enterprise

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102402726A (en) * 2011-11-04 2012-04-04 中国电力科学研究院 Method for predicting electric quantity of large-scale distribution network based on regional load analysis
CN103606018A (en) * 2013-12-04 2014-02-26 冶金自动化研究设计院 System for dynamically predicating power load of iron and steel enterprise in short period
CN104166799A (en) * 2014-08-13 2014-11-26 华电电力科学研究院 Calculating method for design load of a natural gas distributed energy resource
CN104392281A (en) * 2014-11-21 2015-03-04 上海卓源节能科技有限公司 Control method of maximum demand of electricity for enterprise

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112529272A (en) * 2020-12-01 2021-03-19 山东理工大学 Power load prediction method considering policy influence factors

Similar Documents

Publication Publication Date Title
Wang et al. Quantitative energy performance assessment methods for existing buildings
Xin et al. Energy consumption quota of four and five star luxury hotel buildings in Hainan province, China
Liu et al. Energy-saving potential prediction models for large-scale building: A state-of-the-art review
Wang et al. Benchmarking energy performance of residential buildings using two-stage multifactor data envelopment analysis with degree-day based simple-normalization approach
CN104570973A (en) Method and device for enterprise energy management
Yu et al. Do neighboring prefectures matter in promoting eco-efficiency? Empirical evidence from China
Mohamed et al. Forecasting labor productivity changes in construction using the PMV index
Thordal et al. Towards a standard CFD setup for wind load assessment of high-rise buildings: Part 1–Benchmark of the CAARC building
CN109543750A (en) A kind of power consumption user energy efficiency evaluating method
CN103530706A (en) Analysis method for comprehensive energy-saving potential of power distribution network
CN106021724A (en) Energy efficiency evaluation method of machine tool product manufacturing system based on AHM and entropy method
CN108388967A (en) A kind of distributed energy load design system and design method
CN108764626A (en) A kind of diagnosis of energy saving method and apparatus
CN111401701A (en) Comprehensive evaluation method for comprehensive transportation system
CN109657967A (en) A kind of confirmation method and system of Transmission Expansion Planning in Electric evaluating indexesto scheme weight
CN104952024A (en) Method for predicting emergency treatment visiting amount and hospital management system
Zhang et al. A POET Based Energy Audit Methodology for WWTPs
Lodhi et al. An empirical investigation of the effectiveness of ERP quality: Evidence from corporate sector of Pakistan
CN111738605A (en) Quality infrastructure capability index evaluation method
Tanaka Building energy management: performance verification and system simulation
Anh et al. An empirical analysis of quality management practices in Japanese manufacturing companies
Kong et al. Comprehensive evaluation index system of county characteristic industrial cluster based on analytic hierarchy process
Valinejadshoubia et al. Thermal comfort monitoring in buildings using a BIM-based automated system
Xiong et al. Evaluation of regional economic efficiency in Hubei province based on cross data envelopment analysis algorithm
Wang et al. The Effectiveness of Building Energy Efficiency Standards on Carbon Emission Efficiency in Commercial Buildings-Evidence from Chinese Provincial Data

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20180810

RJ01 Rejection of invention patent application after publication